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Anand Agricultural University, Anand
Anand Agricultural University (AAU) was established in 2004 at Anand with the support of the Government of Gujarat, Act No.(Guj 5 of 2004) dated April 29, 2004. Caved out of the erstwhile Gujarat Agricultural University (GAU), the dream institution of Sardar Vallabhbhai Patel and Dr. K. M. Munshi, the AAU was set up to provide support to the farming community in three facets namely education, research and extension activities in Agriculture, Horticulture Engineering, product Processing and Home Science. At present there seven Colleges, seventeen Research Centers and six Extension Education Institute working in nine districts of Gujarat namely Ahmedabad, Anand, Dahod, Kheda, Panchmahal, Vadodara, Mahisagar, Botad and Chhotaudepur
AAU's activities have expanded to span newer commodity sectors such as soil health card, bio-diesel, medicinal plants apart from the mandatory ones like rice, maize, tobacco, vegetable crops, fruit crops, forage crops, animal breeding, nutrition and dairy products etc. the core of AAU's operating philosophy however, continues to create the partnership between the rural people and committed academic as the basic for sustainable rural development. In pursuing its various programmes AAU's overall mission is to promote sustainable growth and economic independence in rural society. AAU aims to do this through education, research and extension education. Thus, AAU works towards the empowerment of the farmers.
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ThesisItem Open Access CALIBRATION AND VALIDATION OF INFOCROP MODEL FOR DIFFERENT CULTIVARS OF MUSTARD AT ANAND(DEPARTMENT OF AGRICULTURAL METEOROLOGY B. A. COLLEGE OF AGRICULTURE ANAND AGRICULTURAL UNIVERSITY ANAND, 2021) Patel Sumitkumar R.; Dr. B. I. KarandeThe present investigation entitled “Calibration and validation of InfoCrop model for different cultivars of mustard at Anand” was laid out on the Agronomy farm, B. A. College of Agriculture, AAU, Anand (Gujarat), India during rabi season of the year 2020-2021. The soil of the experiment field was loamy sand. The objectives were calibration and validation of InfoCrop model, sensitivity analysis of InfoCrop model and optimization of moisture and nitrogen level through model for mustard crop.ThesisItem Open Access EVALUATION OF CROPSYST MODEL FOR WHEAT UNDER MIDDLE GUJARAT AGROCLIMATIC CONDITION(DEPARTMENT OF AGRICULTURAL METEOROLOGY B. A. COLLEGE OF AGRICULTURE ANAND AGRICULTURAL UNIVERSITY ANAND, 2021) Dumaniya Hiren; Dr. M. M. LunagariaThe present investigation entitled “Evaluation of CropSyst model for wheat under middle Gujarat agroclimatic condition” was laid out on the Research farm, Department of Agricultural Meteorology near the Agrometeorological observatory, AAU, Anand, Gujarat (India) during rabi season of the year 2020-2021. The texture of soil for the experiment field was loamy sand. The objectives were to calibrate CropSyst model for wheat, validation CropSyst for simulation of growth and performance of wheat and simulate field water balance for Anand under wheat growing system.ThesisItem Open Access ESTIMATION OF SURFACE ENERGY FLUXES OVER MUSTARD CROP USING TWO SOURCE ENERGY BALANCE MODEL(DEPARTMENT OF AGRICULTURAL METEOROLOGY B. A. COLLEGE OF AGRICULTURE ANAND AGRICULTURAL UNIVERSITY ANAND, 2020) Vala Radhika P.; Dr. M. M. LunagariaThe present investigation entitled “Estimation of surface energy fluxes over mustard crop using two source energy balance model” was laid out in research farm near Agrometeorological observatory, B. A. College of Agriculture, AAU, Anand (Gujarat), India during 2019-2020. The soil of the experiment field was loamy sand. The objectives were to parameterize of two source energy balance model for mustard crop, estimation of surface energy fluxes over mustard crop and validation of TSEB-2T model. The treatment combinations consisting of four levels of sowing dates in a main plot and three varieties of mustard in a sub-plot were tested under split plot design with four replication. Three cultivars namely, Bio 902, GM 3 and GDM 4 were sown on 10th October, 20th October, 30th October and 10th November. Periodical plant biometric observations and micrometeorological observations were taken from each plot of a single replication at weekly and every alternate day respectively.ThesisItem Open Access MOISTURE STRESS DETECTION IN CHICKPEA (Cicer arietinum L.) BASED ON CANOPY – AIR TEMPERATURE DIFFERENTIAL USING INFRARED THERMOMETER(DEPARTMENT OF AGRICULTURAL METEOROLOGY B. A. COLLEGE OF AGRICULTURE ANAND AGRICULTURAL UNIVERSITY ANAND, 2020) Sabhani Khyati H.; Dr. B. I. KarandeThe present investigation entitled “Moisture stress detection in chickpea (Cicer arietinum L.) based on canopy – air temperature differential using infrared thermometer” was laid out on the Agronomy farm, B. A. College of Agriculture, AAU, Anand (Gujarat), India during rabi season of the year 2019-2020. The soil of the experiment field was loamy sand. The objectives were to determine the crop water stress index (CWSI) for chickpea crop and explore association of stress indices with crop soil moisture regimes, yield and yield attributes and to determine optimum irrigation scheduling under IW:CPE ratio and FYM interaction. The treatment combinations consisting of three irrigation levels in a main plot and two FYM levels in a sub-plot were tested under split plot design with four replication. Three irrigation levels include 0.4 IW:CPE ratio, 0.6 IW:CPE ratio and 0.8 IW:CPE ratio and two FYM levels include no FYM and 10 t ha-1 FYM application. Agrometeorological observations were taken from each plot of a single replication at every alternate day. Periodical crop observations were taken from each plot of a single replication at every 15 days interval starting from 20 days after sowing. Post harvest observations were taken from each plot at harvesting.ThesisItem Open Access EVALUATION OF AQUACROP MODEL FOR SIMULATION OF YIELD RESPONSE TO WATER IN RAINFED GROUNDNUT(DEPARTMENT OF AGRICULTURAL METEOROLOGY B. A. COLLEGE OF AGRICULTURE ANAND AGRICULTURAL UNIVERSITY ANAND, 2020) Joshi Sanjaybhai; Dr. M. M. LunagariaAn experiment was conducted at Agronomy farm, B. A. College of Agriculture, Anand Agricultural University, Anand (Gujarat) during kharif-2018. The experiment was laid out in a randomized block design (factorial) with four treatments in six replications. It was carried out with combination of two dates of sowing and two varieties. The prime objective of the field experiment was to evaluate and validate the AquaCrop model for groundnut. Discussion of the results of the field experiment and statistical analysis of the experimental data was complete in itself for agronomic purpose.ThesisItem Open Access DETERMINATION OF INFRARED THERMOMETRY BASED INDICES FOR CROP WATER STATUS MONITORING IN RAINFED PEARL MILLET(DEPARTMENT OF AGRICULTURAL METEOROLOGY B. A. COLLEGE OF AGRICULTURE ANAND AGRICULTURAL UNIVERSITY ANAND, 2019) RATIYA PUJA BHIMABHAI; Dr. M. M. LunagariaA field experiment was conducted during kharif season of 2018 at Agronomy farm, near Agrometeorological observatory, B. A. College of Agriculture, Anand Agricultural University, Anand (Gujarat), India to study infrared thermometry-based indices for crop water status monitoring in rainfed pearl millet. The soil of the experimental field was loamy sand in texture. The experiment was laid out in split plot design with four replications. The nine treatments composed of three dates of sowing and three cultivars were studied. Three cultivars namely, GHB 538, GHB 558 and GHB 744 were sown at onset of monsoon, after 10 days of onset of monsoon and after 20 days of onset of monsoon.ThesisItem Open Access MICROCLIMATE IN PEARL MILLET CROP UNDER DIFFERENT PLANTING GEOMETRIES(DEPARTMENT OF AGRICULTURAL METEOROLOGY B. A. COLLEGE OF AGRICULTURE ANAND AGRICULTURAL UNIVERSITY ANAND, 2019) Harshkumar R. Pandya; Dr. M. M. LunagariaA field experiment was conducted during kharif season of 2018 at Agronomy farm, near Agrometeorological observatory, B. A. College of Agriculture, Anand Agricultural University, Anand, Gujarat to study microclimate in pearl millet crop under different planting geometries. The experiment was laid out in a randomized complete block design with six replications and four treatments. Photosynthetically active radiation (PAR) was measured using a Line quantum sensor (Li-Cor Inc., USA). Vertical PAR profile was measured weekly by positioning the sensor 2 cm, 40 cm, 80 cm, 120 cm heights during 1220 h to 1300 h. Daytime PAR pattern was observed fortnightly by measurements at 800 h, 1100 h, 1400 h and at 1700 h. Air temperature and relative humidity were measured using Assaman psychrometer. They were measured at 2 cm, 40 cm, 80 cm, 120 cm heights during 1220 h to 1300h. Daytime air temperature and humidity patterns were measured fortnightly at 800 h, 1100 h, 1400 h and 1700 h.ThesisItem Open Access SPATIAL AND TEMPORAL VARIATION IN MICROCLIMATE OVER CAPSICUM UNDER OPEN VENTILATED GREENHOUSE(DEPARTMENT OF AGRICULTURAL METEOROLOGY B. A. COLLEGE OF AGRICULTURE ANAND AGRICULTURAL UNIVERSITY ANAND, 2018) Chauhan Kalyansinh Kiransinh; Dr. M. M. LunagariaThis experiment was conducted under open ventilated greenhouse at Horticulture farm of Department of Horticulture, BACA, Anand Agricultural University, Anand, Gujarat during October 2017 to March 2018. The microclimatic condition was observed at 4.75 meter interval ground area in 4×3 regular grids. Air temperature, relative humidity and soil temperature were recorded at 0930 h to 1000 h and PAR were measured at 1240 h to 1250 h inside the greenhouse and open condition. The day time observation was recorded at 0930, 1240 h and 1530 h at 15 days of interval inside the greenhouse and open condition. The parameters profiles within canopy were also observed at 15 days interval.ThesisItem Open Access HEAT UNIT REQUIREMENT AND VALIDATION OF INFOCROP MODEL FOR Bt- COTTON IN MIDDLE GUJARAT AGROCLIMATIC REGION(AAU, Anand, 2014) Tak, Vibha; Pandey, VyasCotton [Gossypium hirsutum.) is one of the important fibre crop grown in tropical and sub-tropical regions of World. It being long duration its response to yield varies with variety and sowing time. It is raised in fchanf supplemental irrigation facilities are available. Bt-cotton is now being grown in most parts of Gujarat. Since the effect of weather on crop yield is complex, it needs deeper and clear understanding of climatic factors affecting the growth and yield of cotton. A field experiment was conducted during the kharif season of the year 2012 at Agronomy farm of B. A. College of Agriculture. In a split plot design with two Bt-cotton cultivars viz., Vikram-5 (Vi) and RCH-2 (V2) as a main plot treatment and three dates of sowing 25th May (Di), 10th J u n e (D2)and 25th June (D3) as sub-plot treatment with four replications. Three dates of sowing provided three different environment in terms of thermal and moisture regimes. The results indicated that the total crop duration varied with the dates of sowing. The crop life period was found to be shortened with delay in sowing, more pronounced being in cultivar Vikram-5. The seed cotton yield as well as total biomass yield of cotton as influenced by different treatments showed that the first date of sowing (Di) had produced significantly higher seed cotton yield as well as total biomass. A similar trend was also found in the yield attributing characters viz.,, plant height and number of boll per plant. Yield and yield attributes characters were found to decrease with delayed sowing. There was no significant difference between the varieties, though RCH-2 yield higher than Vikram-5. The results obtained during the course of study revealed that the different agrometeorological indices had played a significant role in deciding the growth and yield of cotton. The agrometeorological indices were found to affect the crop growth, development and yield differently in different phenophases during its growing period. Accumulated growing degree days (GDD) utilized by two cultivars of cotton to attain the maturity differed with three dates of sowing. The helio thermal unit (HTU) and photo thermal unit (PTU) were found to have similar effect as that of GDD. The heat use efficiency of Btcotton was also found maximum under 25th May sown crop and it decreased with delay in sowing. Correlation studies revealed that agrometeorological indices had highly significant positive association indices. The InfoCrop model was tested and validated for two cultivars of Bt-cotton {Gossypium hirsutum). Using the observed data sets of the cotton crop, the model was calibrated for genetic coefficients of two cultivars viz., Vikram-5 and RCH-2. Model showed its capability to predict phenology, maximum LAI, biomass and seed cotton yield of Btcotton. The simulated values were found to be very close to the observed data. The model performance was adjudged using various statistical parameters viz., mean absolute error (MAE), mean bias error (MBE), root mean square error (RMSE) and percent error (PE). The results showed that these values were within the acceptable limit. The seed cotton yield, biomass yield and maximum LAI were predicted accurately by the model with percent error of less than ±5 %. The results indicated that under biotic stress-free simulations, the InfoCrop model can be used to predict cotton 5deld under different environments for two cultivars of Bt-cotton.